基于支持向量的单类分类方法综述

Review of One-class Classification Method Based on Support Vector

研究基于支持向量机理论和单类分类思想的2种支持向量域数据描述模型,即单分类支持向量机和支持向量描述模型,分析2类模型之间的区别和联系以及参数的优化设置,总结支持向量域单分类方法存在的缺点以及目前对这2类支持向量描述模型研究的改进方向。

Two one-class classification models,one-class support vector machine and support vector data description,which are based on support vector machine and one-class classification are introduced.The internal relationship and parameters optimization of the two models are also analysed,and the exists of disadvantages and improvements of the two one-class classifiers are summarized.